Full course coming soon

AI System Governance for HR and Employment Decisions

7 chapters · 32 lessons

1. 1. Risk-Based Classification for Workplace AI

   4 lessons

   Learn to identify which AI use cases trigger heightened obligations based on their role in employment decisions.

2. 2. Designing Meaningful Human Oversight

   5 lessons

   Build workflows where human reviewers can effectively challenge, contextualize, and override AI recommendations.

3. 3. Procurement and Vendor Governance

   5 lessons

   Shift from feature comparison to governance-focused vendor assessment for AI hiring and performance tools.

4. 4. Recruitment and Hiring AI Governance

   4 lessons

   Apply risk frameworks to CV screening, candidate ranking, interview analysis, and offer recommendation systems.

5. 5. Performance Management and Workforce Analytics

   5 lessons

   Govern AI systems that flag productivity issues, predict attrition, or recommend disciplinary action.

6. 6. Logging, Monitoring, and Audit Practices

   4 lessons

   Implement technical and organizational measures to track AI system behavior and support compliance audits.

7. 7. Cross-Functional Governance and Policy Design

   5 lessons

   Translate risk-based AI regulation into organizational policies that bridge HR, legal, IT, and procurement.